摘要
为了能够精确定位并识别出近表面缺陷在低合金厚板对接焊缝中的位置,对其超声衍射时差法的D扫描图像进行了处理。为了准确定位缺陷深度,提出了基于峰值检测算法的直通波拉直技术;为了能够识别出近表面缺陷,在直通波拉直的基础上引入了基于A扫描线能量分布算法的直通波消除技术。试验结果表明,该技术有效地提高了对近表面缺陷的识别能力。利用该技术能够更准确地定位缺陷的深度,更清晰地识别出近表面缺陷,实现缺陷的精确定位与识别。
In order to accurately locate and identify the location of near-surface defects in low-alloy plate butt weld, the D-scan image obtained by the time of flight diffraction method was processed. In order to accurately locate the depth of defects, a through wave straightening technology based on the peak detection algorithm-PDA was proposed; in order to recognize near-surface defects, then a through wave cancellation technology based on A-scan line energy distribution algorithm-EDA was introduced. The experiment results showed that the proposed method effectively improved the recognition ability of near-surface defects. By this technology, the depth of defect could be located more accurately and the near-surface defects could be recognized more clearly, and hence accurate location and recognition of defect was achieved.
出处
《无损检测》
2010年第6期402-405,共4页
Nondestructive Testing
关键词
超声衍射时差法
峰值检测算法
直通波
能量分布算法
Time of flight diffraction method
Peak detection algorithm
Through wave
Energy distribution algorithm
